Hiba Chougrad

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #28,395 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #17,442 of 21,575 by trust here, #19,310 by citations
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Hiba Chougrad trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Karen Simonyan
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Christian Szegedy
7. Yann LeCun
8. Alex Krizhevsky
9. Kaiming He
10. Jimmy Ba

Who trusts Hiba Chougrad overall

1. Imran Khan Mohd Jais
2. Amelia Ritahani Ismail

Papers from Hiba Chougrad's perspective

Ordered by how strongly the researchers Hiba Chougrad trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Convolutional Neural Networks for breast cancer screening (2018) — 381 citations